High-Order Statistics For Plant ClassificationA simple and effective code for Leaf Recognition System. | |
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High-Order Statistics For Plant Classification Ranking & Summary
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High-Order Statistics For Plant Classification Tags
- Algorithm classification leaf hand recognition system recognition system matlab leaf screensaver Four Leaf Clovers olive leaf Screensaver Matlab Algorithm analyze leaf shape analize leaf leaf analysis deternime leaf shape leaf theme Plant Classification Leaf Recognition leaf growth leaf node corruption
High-Order Statistics For Plant Classification Description
High-Order Statistics For Plant Classification an efficient algorithm for leaf classification that combines high-order statistics of image features together with shape information and neural network as nonlinear classifier. The code has been tested with FLAVIA database achieving an excellent recognition rate of 92.09% (32 classes, 40 training images and the remaining images used for testing for each class, hence there are 1280 training images and 627 test images in total randomly selected and no overlap exists between the training and test images). Give High-Order Statistics For Plant Classification a try to fully assess its capabilities!
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